def test_Slicer_outputs():
output_map = dict(out_file=dict(), )
outputs = Slicer.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_Slicer_outputs():
output_map = dict(out_file=dict(),
)
outputs = Slicer.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_Slicer_inputs():
input_map = dict(
all_axial=dict(
argstr='-A',
position=10,
requires=['image_width'],
xor=('single_slice', 'middle_slices', 'all_axial', 'sample_axial'),
),
args=dict(argstr='%s', ),
colour_map=dict(
argstr='-l %s',
position=4,
),
dither_edges=dict(
argstr='-t',
position=7,
),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
image_edges=dict(
argstr='%s',
position=2,
),
image_width=dict(
argstr='%d',
position=-2,
),
in_file=dict(
argstr='%s',
mandatory=True,
position=1,
),
intensity_range=dict(
argstr='-i %.3f %.3f',
position=5,
),
label_slices=dict(
argstr='-L',
position=3,
usedefault=True,
),
middle_slices=dict(
argstr='-a',
position=10,
xor=('single_slice', 'middle_slices', 'all_axial', 'sample_axial'),
),
nearest_neighbour=dict(
argstr='-n',
position=8,
),
out_file=dict(
argstr='%s',
genfile=True,
hash_files=False,
position=-1,
),
output_type=dict(),
sample_axial=dict(
argstr='-S %d',
position=10,
requires=['image_width'],
xor=('single_slice', 'middle_slices', 'all_axial', 'sample_axial'),
),
scaling=dict(
argstr='-s %f',
position=0,
),
show_orientation=dict(
argstr='%s',
position=9,
usedefault=True,
),
single_slice=dict(
argstr='-%s',
position=10,
requires=['slice_number'],
xor=('single_slice', 'middle_slices', 'all_axial', 'sample_axial'),
),
slice_number=dict(
argstr='-%d',
position=11,
),
terminal_output=dict(nohash=True, ),
threshold_edges=dict(
argstr='-e %.3f',
position=6,
),
)
inputs = Slicer.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
def test_Slicer_inputs():
input_map = dict(all_axial=dict(argstr='-A',
position=10,
requires=['image_width'],
xor=('single_slice', 'middle_slices', 'all_axial', 'sample_axial'),
),
args=dict(argstr='%s',
),
colour_map=dict(argstr='-l %s',
position=4,
),
dither_edges=dict(argstr='-t',
position=7,
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
image_edges=dict(argstr='%s',
position=2,
),
image_width=dict(argstr='%d',
position=-2,
),
in_file=dict(argstr='%s',
mandatory=True,
position=1,
),
intensity_range=dict(argstr='-i %.3f %.3f',
position=5,
),
label_slices=dict(argstr='-L',
position=3,
usedefault=True,
),
middle_slices=dict(argstr='-a',
position=10,
xor=('single_slice', 'middle_slices', 'all_axial', 'sample_axial'),
),
nearest_neighbour=dict(argstr='-n',
position=8,
),
out_file=dict(argstr='%s',
genfile=True,
hash_files=False,
position=-1,
),
output_type=dict(),
sample_axial=dict(argstr='-S %d',
position=10,
requires=['image_width'],
xor=('single_slice', 'middle_slices', 'all_axial', 'sample_axial'),
),
scaling=dict(argstr='-s %f',
position=0,
),
show_orientation=dict(argstr='%s',
position=9,
usedefault=True,
),
single_slice=dict(argstr='-%s',
position=10,
requires=['slice_number'],
xor=('single_slice', 'middle_slices', 'all_axial', 'sample_axial'),
),
slice_number=dict(argstr='-%d',
position=11,
),
terminal_output=dict(nohash=True,
),
threshold_edges=dict(argstr='-e %.3f',
position=6,
),
)
inputs = Slicer.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
